Predicting Trends in Educational Technology Development Using Artificial Intelligence Methods
DOI:
https://doi.org/10.5281/zenodo.15574192Keywords:
adaptive learning, machine learning, data-driven education, immersive technologies, personalisation, trend analysis, educational innovationAbstract
This study aims to identify and forecast trends in the development of educational technologies using artificial intelligence (AI) methods. A combination of bibliometric analysis and machine learning algorithms was applied to analyse global data from open-access educational and technological databases. The results highlight emerging trends such as adaptive learning, immersive environments, and AI-driven personalisation. The findings provide a predictive framework to support policymakers, educators, and developers in strategic planning for education system innovation. The study also emphasises the role of big data in detecting long-term shifts in educational priorities. These insights contribute to the effective integration of advanced technologies in learning environments.
References
Aithal, P. S., Prabhu, S., & Aithal, S. (2024). Future of higher education through technology prediction and forecasting. Poornaprajna International Journal of Management, Education, and Social Science (PIJMESS), 1(1), 1–50. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4901474
Afzalova, A. N. (2022). Trends of educational technologies in the modern world. Pedagogical, Psychological, and Medical-Biological Problems of Physical Culture and Sports, 17(4), 139–142. DOI: 10.14526/2070-4798-2022-17-4-165-170
Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education. Educational Technology & Society, 25(1), 28–47. https://www.jstor.org/stable/48647028
Chu, H. C., Hwang, G. H., Tu, Y. F., & Yang, K. H. (2022). Roles and research trends of artificial intelligence in higher education: A systematic review of the top 50 most-cited articles. Australasian Journal of Educational Technology, 38(3), 22–42. https://ajet.org.au/index.php/AJET/article/view/7526
Dimitriadou, E., & Lanitis, A. (2023). A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms. Smart Learning Environments, 10(1). https://link.springer.com/article/10.1186/s40561-023-00231-3
Dwivedi, Y. K., Sharma, A., Rana, N. P., Giannakis, M., Goel, P., & Dutot, V. (2023). Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions. Technological Forecasting and Social Change, 192, Article 122561. https://www.sciencedirect.com/science/article/pii/S0040162523002640
Galimyanov, A. F., Gafarov, F., Khairullina, L., & Muzafarova, A. (2022). Research and forecasting of educational process parameters by using artificial intelligence. ARPHA Proceedings, 5, 477–489. https://ap.pensoft.net/article/24287/download/pdf/
Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134–147. https://www.sciencedirect.com/science/article/pii/S2096248720300369
Hashim, S., Omar, M. K., Ab Jalil, H., & Sharef, N. M. (2022). Trends on technologies and artificial intelligence in education for personalized learning: Systematic literature. Journal of Academic Research in Progressive Education and Development, 12(1), 884–903. https://www.researchgate.net/publication/358958588_Trends_on_Technologies_and_Artificial_Intelligence_in_Education_for_Personalized_Learning_Systematic_Literature_Review
Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J., Ogata, H., ... & Tsai, C. C. (2020). Challenges and future directions of big data and artificial intelligence in education. Frontiers in Psychology, 11, Article 580820. https://www.frontiersin.org/articles/10.3389/fpsyg.2020.580820/full
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Copyright (c) 2025 Olena Polinok, Olena Hryzdova
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